{"id":57223,"date":"2020-08-24T11:53:08","date_gmt":"2020-08-24T15:53:08","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=57223"},"modified":"2022-11-21T09:46:09","modified_gmt":"2022-11-21T14:46:09","slug":"how-to-scrape-news-articles-with-python","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/how-to-scrape-news-articles-with-python\/","title":{"rendered":"How to Scrape News Articles with Python"},"content":{"rendered":"\n

In this post we\u2019re going to discuss how to scrape news articles with Python. This can be done using the handy newspaper<\/strong> package.<\/p>\n\n\n\n

Introduction to Python\u2019s newspaper package<\/strong><\/h2>\n\n\n\n

The newspaper package can be installed using pip:<\/p>\n\n\n\n

\npip install newspaper\n<\/p>\n\n\n\n

Once its installed, we can get started. newspaper<\/strong> can work by either scraping a single article from a given URL, or by finding the links on a webpage to other news articles. Let\u2019s start with handling a single article. First, we need to import the Article<\/em> class. Next, we use this class to download the content from the URL to our news article. Then, we use the parse<\/em> method to parse the HTML. Lastly, we can print out the text of the article using .text<\/em>.<\/p>\n\n\n\n

Scraping a single article<\/strong><\/h3>\n\n\n\n

\nfrom newspaper import Article

\n \nurl = “https:\/\/www.bloomberg.com\/news\/articles\/2020-08-01\/apple-buys-startup-to-turn-iphones-into-payment-terminals?srnd=premium”

\n \n# download and parse article
\narticle = Article(url)
\narticle.download()
\narticle.parse()

\n \n# print article text
\nprint(article.text)\n<\/p>\n\n\n\n

It\u2019s also possible to get other information about the article, such as links to images or videos embedded in the post.<\/p>\n\n\n\n

\n# get list of image links
\narticle.images

\n \n# get list of videos – empty in this case
\narticle.movies\n<\/p>\n\n\n\n

Downloading all the articles linked on a webpage<\/strong><\/h3>\n\n\n\n

Now, let\u2019s look at how we can all the news articles linked on a webpage. We\u2019ll do that using the newspaper.build<\/em> method, like below. Then, we can extract the article URLs using the article_urls<\/em> method.<\/p>\n\n\n\n

\nimport newspaper

\n \nsite = newspaper.build(“https:\/\/news.ycombinator.com\/”)

\n \n# get list of article URLs
\nsite.article_urls()\n<\/p>\n\n\n\n

Using our object above, we can also get the contents of each of those articles. Here, all of the article objects are stored in the list, site.articles<\/em>. For example, let\u2019s get the first article\u2019s contents.<\/p>\n\n\n\n

\nsite_article = site.articles[0]

\n \nsite_article.download()
\nsite_article.parse()\n \nprint(site_article.text)\n<\/p>\n\n\n\n

Now, let\u2019s modify our code to get the top ten articles:<\/p>\n\n\n\n

\ntop_articles = []
\nfor index in range(10):
\n article = site.articles[index]
\n article.download()
\n article.parse()
\n top_articles.append(article)\n<\/p>\n\n\n\n

Now, we can look at the text of any of these articles.<\/p>\n\n\n\n

\nprint(site[0].text)

\n \nprint(site[3].text)\n<\/p>\n\n\n\n\n\n

Warning!<\/strong><\/h3>\n\n\n\n

One important note when using newspaper<\/strong> is that if you run newspaper.build<\/em> multiple times with the same URL, the package will cache and then remove the articles already scraped. For example, in the below code, we run newspaper.build<\/em> two consecutive times and get different results. The second time we run it, the code just returns the newly added links.<\/p>\n\n\n\n

\nsite = newspaper.build(“https:\/\/news.ycombinator.com\/”)

\n \nprint(len(site.articles))

\n \nsite = newspaper.build(“https:\/\/news.ycombinator.com\/”)

\n \nprint(len(site.articles))\n<\/p>\n\n\n\n

\"scrape<\/figure>\n\n\n\n

This can be adjusted by adding a extra parameter to our function call, like below:<\/p>\n\n\n\n

\nsite = newspaper.build(“https:\/\/news.ycombinator.com\/”, memoize_articles=False)\n<\/p>\n\n\n\n

How to get article summaries<\/strong><\/h3>\n\n\n\n

The newspaper<\/strong> package also supports some NLP functionality. You can check this out by calling the nlp<\/em> method.<\/p>\n\n\n\n

\narticle = top_articles[3]

\n \narticle.nlp()\n<\/p>\n\n\n\n

Now, let\u2019s use the summary<\/em> method. This will attempt to return a summary of the article.<\/p>\n\n\n\n

\narticle.summary()\n<\/p>\n\n\n\n

You can also get a list of keywords from the article.<\/p>\n\n\n\n

\narticle.keywords\n<\/p>\n\n\n\n

How to get top trending Google keywords<\/strong><\/h3>\n\n\n\n

newspaper<\/strong> has a couple of other cool features. For example, we can use it to easily pull the top trending searches on Google using the hot<\/em> method.<\/p>\n\n\n\n

\nnewspaper.hot()\n<\/p>\n\n\n\n

The package can also return a list of popular URLs, like below.<\/p>\n\n\n\n

\nnewspaper.popular_urls()\n<\/p>\n\n\n\n

Conclusion<\/strong><\/h2>\n\n\n\n

That\u2019s all for now. In this post, we learned how to scrape news articles with Python. If you want to learn more about web scraping, check out my extensive web scraping fundamentals course<\/a> I co-created with 365 Data Science, now available on Udemy. Also, make sure to check out their full program of courses<\/a> (which includes mine) available by clicking here<\/a>.<\/p>\n\n\n\n

Visit TheAutomatic.net Blog to download additional code: https:\/\/theautomatic.net\/2020\/08\/05\/how-to-scrape-news-articles-with-python\/<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Learn how to scrape news articles with Python. 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